The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from b
Tutorial: Statistical Analysis of Network Data
โ Scribed by Eric D. Kolaczyk
- Publisher
- Department of Mathematics and Statistics, Boston University
- Tongue
- English
- Leaves
- 62
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Introduction
Network Mapping
Network Characterization
Network Sampling
Network Characterization
Network Inference
Network Characterization
Network Processes
Network Characterization
Wrap-Up
โฆ Subjects
network science; graph theory; analysis
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This book is not really a tutorial for beginners as it goes directly into the subject. It is well written, rigorous, and not that expensive for people needing to learn the bayesian principles. For total beginners as I was, I would advise reading "Introduction to Bayesian Statistics" by Bolstad befor